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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Teknologi Informasi dan Ilmu Komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Communications in Science and Technology TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Buletin Ilmiah Sarjana Teknik Elektro IJITEE (International Journal of Information Technology and Electrical Engineering) Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Mitra Akademia: Jurnal Pengabdian Masyarakat SPEKTRAL : Journal of Communications, Antennas and Propagation Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Mosfet Jurnal Abdimas Ilmiah Citra Bakti
Shita Fitria Nurjihan
Politeknik Negeri Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences

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YOLOv8-Based Detection of Convective Storm Clouds for Cumulonimbus Classification Rafsyam, Yenniwarti; Nurjihan, Shita Fitria; Rinaldi, Arief
Communications in Science and Technology Vol 10 No 2 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.2.2025.1854

Abstract

Cumulonimbus (CB) clouds are vertically developed convective systems that are capable of producing severe weather phenomena, including turbulence, heavy rainfall, and lightning. These phenomena pose a significant threat to aviation safety. This paper considers an automated CB cloud detection approach using the deep learning algorithm You Only Look Once version 8 on NOAA-19 satellite imagery. The images of 640 × 640 pixels each were labeled into two classes: CB and non-CB. In general, rotation, flip, and random brightening are performed to develop a more robust model. After 100 training epochs, the proposed model produced reliable detection performance, as evidenced by 1,694 TP (true positives), 438 FP (false positives), and 304 FN (false negatives) cases, with a precision of 0.79, recall of 0.84, and an F1-score of 0.81. Validation using METAR reports from the Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG) confirmed the consistency of the model with observed weather conditions. The results demonstrated that YOLOv8 could provide a rapid and reliable framework for real-time detection and classification of CB clouds, thereby enhancing situational awareness for aviation operations and facilitating the effectiveness of satellite-based early warning systems in convectively active tropical regions.
Perancangan Simulator Modulasi Analog dan Digital Berbasis App Designer Matlab untuk Media Pembelajaran Sistem Telekomunikasi Ardiansyah, Naufal Arif; Fitriana, Desi; Nurjihan, Shita Fitria; Ananda, Fitri Elvira
Jurnal Mosfet Vol. 6 No. 1 (2026): 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v6i1.4273

Abstract

This paper proposes an application that was designed using MATLAB App Designer in the form of an analog and digital modulation simulator that can be used as a learning tools in telecommunications systems courses. Studying the modulation process is one of the core areas of knowledge in the telecommunications field. Modulation is the process of superimposing an information signal on a carrier signal to produce a modulated signal. Modulation can be divided into analog modulation and digital modulation. Analog modulation is modulation with an input signal in the form of an analog signal, while digital modulation has an input signal in the form of a binary or digital signal. The results of designing analog and digital modulation simulators can display simulations of AM, FM, PM, ASK, FSK, and PSK modulation in the form of information signals, carrier signals, and modulation signals, as well as BER and SNR results for digital modulation. The simulator can work properly and in accordance with the theoretical analysis of analog and digital modulation. The greater the SNR level, the more the modulation system performance increases, because the BER (Bit Error Rate) value becomes lower.
PEMANFAATAN INTERNET OF THINGS (IOT) UNTUK MONITORING LIMBAH CAIR SEBAGAI MEDIA PEMBELAJARAN BAGI SISWA SMK CITRA NEGARA Hasani, Rifqi Fuadi; Supriyanto, Toto; Nurjihan, Shita Fitria; Danaryani, Sri; Nixon, Benny; Rafsyam, Yenniwarti; Setiati, Anik Tjandra; Adiningtyas, Hana Kamila; Febryanti, Dita Indra; Prasetya, Irwan; Pratiwi, Ainnur Rahayu
Jurnal Abdimas Ilmiah Citra Bakti Vol. 7 No. 1 (2026)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v7i1.6328

Abstract

Perkembangan teknologi Internet of Things (IoT) telah mendorong berbagai inovasi dalam pemantauan lingkungan secara real-time. Namun, implementasi teknologi tersebut dalam pembelajaran di sekolah kejuruan masih terbatas karena kurangnya perangkat praktikum yang aplikatif dan kontekstual. Kondisi ini juga ditemukan pada siswa SMK Citra Negara yang belum memiliki pengalaman langsung dalam memanfaatkan teknologi IoT untuk pemantauan kualitas lingkungan. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengembangkan dan mengimplementasikan training kit berbasis IoT sebagai media pembelajaran dalam monitoring kualitas limbah cair bagi siswa SMK. Mitra kegiatan adalah siswa SMK Citra Negara. Kegiatan dilaksanakan melalui beberapa tahapan, yaitu tahap persiapan, tahap pelatihan, tahap implementasi, serta tahap evaluasi untuk menilai efektivitas program. Sistem monitoring yang dikembangkan memanfaatkan beberapa sensor, antara lain sensor suhu dan kelembapan (DHT22), sensor kekeruhan air (TS-300B), sensor gas amonia (MQ-135), sensor gas LPG (MQ-5), serta sensor pH (pH-4502C) yang mampu mengirimkan data secara real-time. Hasil kegiatan menunjukkan bahwa siswa memperoleh pemahaman yang lebih baik mengenai konsep Internet of Things dan penerapannya dalam pemantauan kualitas limbah cair. Training kit yang dikembangkan mampu menampilkan serta mengirimkan data secara real-time melalui aplikasi, sehingga memberikan pengalaman belajar yang praktis dan aplikatif bagi siswa. Dengan demikian, pemanfaatan IoT dalam monitoring limbah cair dapat menjadi media pembelajaran inovatif yang mendukung penguatan kompetensi teknologi siswa SMK sekaligus meningkatkan kesadaran terhadap pengelolaan lingkungan berbasis teknologi.
Co-Authors Abdul Aziz Achmad Munir Adiningtyas, Hana Kamila Aini, Syifa Nurul Alica Dewanti Ananda, Fitri Elvira ANGELICA, MOLLIYANA TOTA Annisa Shafira Darmawan Ardiansyah, Naufal Arif Ardina Askum Benny Nixon Benny Nixon Desi Fitriana, Desi DITA INDRA FEBRYANTI, DITA INDRA Erna Riani Fitri Elvira Ananda Harits Lukmanul Hakim Hasani, Rifqi Fuadi Irwan Prasetya Kurniawati, Nazmia Kusuma, Dandi Lestari, Annisa Fitri Molliyana Tota Angelica Mughni Tabroni Muhammad Arif Rahman Muhammad Faris Permana, Rafli Pranoto, Dwitio Ahmad Prasetya, Irwan Pratiwi, Ainnur Rahayu Putri, Khomala PUTRI, KHOMALA ERNIA Rafif, Muhammad Rahman, Muhammad Arif Regitta Octavia Siswono Rifqi Fuadi Hasani Rifqi Fuadi Hasani Rinaldi, Arief Rizki Azka Fihi Aghnia Setiati, Anik Tjandra Shalsa Luthfita Chairiza Siahaan, Abelitho Sianipar, Virgie Aubrey Hemas Sirait, Ari Valentino Sofian, Rivaldi Adi Sri Danaryani Sutanto, Sutanto Toto Supriyanto Tri Handoko Yenniwarti Rafsyam